@@ -436,9 +436,9 @@ def is_dominated(self, action, tol=None, method=None):
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method : str, optional(default=None)
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If None, `lemke_howson` from `quantecon.game_theory` is used
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to solve for a Nash equilibrium of an auxiliary zero-sum
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- game. If `method` is set to `'simplex'` or
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- `'interior-point '`, `scipy.optimize.linprog` is used with
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- the method as specified by `method`.
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+ game. If `method` is set to `'simplex'`, `'interior-point'`,
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+ or `'revised simplex '`, then `scipy.optimize.linprog` is
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+ used with the method as specified by `method`.
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Returns
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-------
@@ -469,7 +469,7 @@ def is_dominated(self, action, tol=None, method=None):
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g_zero_sum = NormalFormGame ([Player (D ), Player (- D .T )])
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NE = lemke_howson (g_zero_sum )
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return NE [0 ] @ D @ NE [1 ] > tol
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- elif method in ['simplex' , 'interior-point' ]:
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+ elif method in ['simplex' , 'interior-point' , 'revised simplex' ]:
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from scipy .optimize import linprog
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m , n = D .shape
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A_ub = np .empty ((n , m + 1 ))
@@ -508,9 +508,9 @@ def dominated_actions(self, tol=None, method=None):
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method : str, optional(default=None)
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If None, `lemke_howson` from `quantecon.game_theory` is used
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to solve for a Nash equilibrium of an auxiliary zero-sum
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- game. If `method` is set to `'simplex'` or
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- `'interior-point '`, `scipy.optimize.linprog` is used with
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- the method as specified by `method`.
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+ game. If `method` is set to `'simplex'`, `'interior-point'`,
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+ or `'revised simplex '`, then `scipy.optimize.linprog` is
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+ used with the method as specified by `method`.
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Returns
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-------
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